Below are the most recent publications written about "Radiographic Image Interpretation, Computer-Assisted" by people in Profiles.
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Chen X, Zargari A, Hollingsworth AB, Liu H, Zheng B, Qiu Y. Applying a new quantitative image analysis scheme based on global mammographic features to assist diagnosis of breast cancer. Comput Methods Programs Biomed. 2019 Oct; 179:104995.
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Rajabzadeh-Oghaz H, Varble N, Shallwani H, Tutino VM, Mowla A, Shakir HJ, Vakharia K, Atwal GS, Siddiqui AH, Davies JM, Meng H. Computer-Assisted Three-Dimensional Morphology Evaluation of Intracranial Aneurysms. World Neurosurg. 2018 Nov; 119:e541-e550.
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Mirniaharikandehei S, Hollingsworth AB, Patel B, Heidari M, Liu H, Zheng B. Applying a new computer-aided detection scheme generated imaging marker to predict short-term breast cancer risk. Phys Med Biol. 2018 05 15; 63(10):105005.
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Danala G, Patel B, Aghaei F, Heidari M, Li J, Wu T, Zheng B. Classification of Breast Masses Using a Computer-Aided Diagnosis Scheme of Contrast Enhanced Digital Mammograms. Ann Biomed Eng. 2018 Sep; 46(9):1419-1431.
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Trujillo RL, Kadioglu O, Currier GF, Smith KS, Yetkiner E. Volumetric Cleft Changes in Treatment With Bone Morphogenic Protein/ß-Tricalcium Phosphate Versus Grafts From the Iliac Crest or Symphysis. J Oral Maxillofac Surg. 2018 09; 76(9):1991-1997.
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Ali I, Alsbou N, Jaskowiak J, Ahmad S. Quantitative evaluation of the performance of different deformable image registration algorithms in helical, axial, and cone-beam CT images using a mobile phantom. J Appl Clin Med Phys. 2018 Mar; 19(2):62-73.
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Heidari M, Khuzani AZ, Hollingsworth AB, Danala G, Mirniaharikandehei S, Qiu Y, Liu H, Zheng B. Prediction of breast cancer risk using a machine learning approach embedded with a locality preserving projection algorithm. Phys Med Biol. 2018 01 30; 63(3):035020.
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Ghani MU, Ren L, Wong M, Li Y, Zheng B, Rong XJ, Yang K, Liu H. Noise Power Characteristics of a Micro-Computed Tomography System. J Comput Assist Tomogr. 2017 Jan; 41(1):82-89.
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Wang Y, Aghaei F, Zarafshani A, Qiu Y, Qian W, Zheng B. Computer-aided classification of mammographic masses using visually sensitive image features. J Xray Sci Technol. 2017; 25(1):171-186.
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Tan M, Aghaei F, Wang Y, Zheng B. Developing a new case based computer-aided detection scheme and an adaptive cueing method to improve performance in detecting mammographic lesions. Phys Med Biol. 2017 01 21; 62(2):358-376.